uɐʎɹ ррoʇ uɐʎɹ bio photo

uɐʎɹ ррoʇ uɐʎɹ

Hello. Is is me you're looking for?
僕は猿ーロボット。
robotic life signs.
makes noise, hears sounds, intafon.
affe auf deux roues.

Email Twitter Github Github Gist Last.fm Soundcloud Flickr

Several months ago I jumped back into AS3 development for flash and I once again, therefore, jumped back into using the actionscript livedocs. LiveDocs are great, but I’ve always found navigating to them to be a big chore, even from a bookmark in a browser. In addition, the search functionality for LiveDocs to often be frustrating. The other day it occurred to me, however, that the same search capability used to trigger yubnub commands from Quicksilver could be implemented to search LiveDocs as well. Check out this tutorial at lifeclever to find out how to access yubnub from Quicksilver. The same principle can be used for searching live docs (and for searching the adobe help docs for flash 10 player AS3. Instead of using using the search URL "qss-http://www.yubnub.org/parser/parse?command=***", use the following query URLs in a quicksilver web search trigger:

Flash 9 LiveDocs:  qss-http://www.google.com/search?&btnI&q=site%3Ahttp%3A%2F%2Flivedocs.adobe.com%2Fflash%2F9.0%2FActionScriptLangRefV3%2F+***

Flash 10 Help Docs:  qss-http://www.google.com/search?&btnI&q=site%3Ahttp%3A%2F%2Fhelp.adobe.com%2Fen_US%2FAS3LCR%2FFlash_10.0%2F+***

Basically, since there is no convenient way I found to use the search mechanisms on the Adobe site, these queries are running a google lucky search on the wildcard applied search term, while restricting the search to the site pertinent to the docs of interest. Running the assigned key command will trigger the Quicksilver text entry box; simply enter the term, such as “vector” for Flash 10, and the google lucky search will be performed. Since the lucky search is restricted to the livedocs and the help docs, the first search result returned will be the frameless html page in the docs for the search term. When searching for the docs for a specific actionscript term, this cuts the search time for a term down to a couple of seconds, which is highly convenient…